Open Startonix opened 4 months ago
from sklearn.ensemble import RandomForestClassifier class AdaptiveSystem: def init(self): self.model = RandomForestClassifier() def train_model(self, data, labels): self.model.fit(data, labels)
def predict_threat(self, new_data): return self.model.predict([new_data])
system = AdaptiveSystem() training_data = [[0, 1], [1, 0], [0, 0], [1, 1]] # Example data labels = [0, 1, 0, 1] # Example labels system.train_model(training_data, labels) new_data = [0, 1] print(system.predict_threat(new_data))
from sklearn.ensemble import RandomForestClassifier class AdaptiveSystem: def init(self): self.model = RandomForestClassifier() def train_model(self, data, labels): self.model.fit(data, labels)
def predict_threat(self, new_data): return self.model.predict([new_data])
Example usage
system = AdaptiveSystem() training_data = [[0, 1], [1, 0], [0, 0], [1, 1]] # Example data labels = [0, 1, 0, 1] # Example labels system.train_model(training_data, labels) new_data = [0, 1] print(system.predict_threat(new_data))